An Advanced Process Control Application Framework: Development and Test-Bench Validation

In this paper, we present a software framework implementing Model Predictive Control (MPC), a widely adopted method in industrial automation. Designed for versatility, it operates with a range of target platforms-such as programmable logic controllers and distributed control systems. Notably, beyond its core MPC functionality, the framework supports multiple real-time simulation models, positioning it not merely as a conventional controller but also as a foundational digital twin for industrial processes. This capability facilitates a seamless transition from academic research to real-world application-an area that often proves challenging due to the gap between laboratory settings and practical industry requirements. The experimental validation on a laboratory test bench demonstrates the effectiveness of the proposed solution, underscoring its role as a bridge between academic developments and industrial implementation.